Quantitative Developer (C++ / Python) vs Core Banking Systems Specialist (Temenos / Mambu): Salary & Career Benchmarks in the US

In the US, Quantitative Developer (C++ / Python) roles typically command a higher median salary than Core Banking Systems Specialist (Temenos / Mambu) positions. According to our 2026 live benchmark data, a mid-level Quantitative Developer (C++ / Python) earns a median salary of $182K, whereas a Core Banking Systems Specialist (Temenos / Mambu) brings in roughly $162K (a gap of $20K at the median).

Seniority, tech stack, and location all move this gap. Senior practitioners in either discipline can exceed the upper range through specialist skills. See the skills premium section below for the specific certifications and tools that push offers to the top of the range.

While both positions are vital to a modern tech organisation, Quantitative Developer (C++ / Python) and Core Banking Systems Specialist (Temenos / Mambu) have fundamentally different daily workflows.

Quantitative Developer (C++ / Python) focuses primarily on building the pricing, risk, and execution libraries that quantitative trading and risk teams rely on, bridging research code in Python with production-grade C++ systems. Day-to-day work revolves around translating research prototypes into production C++ libraries, optimising numerical code for performance, building Python bindings for quant research teams, and validating pricing models against market data.

Core Banking Systems Specialist (Temenos / Mambu) focuses on configuring, customising, and maintaining core banking platforms such as Temenos or Mambu that handle account, ledger, and product processing for banks. Their time is spent configuring product and account rules in Temenos or Mambu, managing core banking upgrades and patches, integrating the core with payment and channel systems, and supporting regulatory reporting extracts.

Transitioning between these two paths is achievable but requires targeted upskilling.

Moving from Quantitative Developer (C++ / Python) to Core Banking Systems Specialist (Temenos / Mambu):

Moving from Core Banking Systems Specialist (Temenos / Mambu) to Quantitative Developer (C++ / Python):

Neither path requires starting from scratch. Professionals in both roles share underlying technology fluency; the gap is usually domain knowledge and specific tooling rather than core engineering fundamentals.

In the US in 2026, both roles are seeing demand, but with different drivers.

Quantitative Developer (C++ / Python) demand is high, particularly in product engineering teams across Austin, New York, and Seattle, led by employers such as Meta and Amazon. Core Banking Systems Specialist (Temenos / Mambu) demand is high, concentrated in product engineering teams across Seattle, San Francisco Bay Area, and Austin, led by employers such as Goldman Sachs and Capital One.

Workspace flexibility significantly impacts total compensation value in the US.

Quantitative Developer (C++ / Python) roles score 35% on our remote-friendliness index (Moderate). This is because much of the work is asynchronous and tool-driven, though many US employers, particularly larger firms with formal return-to-office mandates, still expect two to three days a week in a Austin or New York office. Where in-office attendance is required, it is typically driven by cross-functional collaboration and stakeholder alignment sessions, which US employers headquartered in Austin and New York increasingly formalize into a fixed hybrid schedule rather than leaving to team discretion.

Core Banking Systems Specialist (Temenos / Mambu) roles score 40% (Moderate). Much of the work is asynchronous and tool-driven, though many US employers, particularly larger firms with formal return-to-office mandates, still expect two to three days a week in a Seattle or San Francisco Bay Area office is the primary driver of flexibility. When office days are required, it is usually for cross-functional collaboration and stakeholder alignment sessions, which US employers headquartered in Seattle and San Francisco Bay Area increasingly formalize into a fixed hybrid schedule rather than leaving to team discretion.